Drive innovation as a Lead AI Solutions Engineer at TheAppLabb by developing high-impact ML systems. Engage in building and deploying solutions that enhance business growth through AI.

This Senior Machine Learning

Engineer role requires team-oriented efforts across product, data, and engineering teams. Your primary focus will be to operationalize ML models using Docker and Kubernetes while leveraging data from sources like Snowflake or DataBricks. You'll be challenged to optimize performance metrics and maintain SLAs for effective production level operations. Key Responsibilities:
Architect end-to-end ML solutions for large-scale deployments
Build scalable and durable ML systems with frameworks
Utilize container orchestration for ML model deployment




Integrate solutions with data warehouses for ML inference
Collaborate on AI features and requirements with teams

Requirements:
5+ years in deploying production-level ML applications
Proficiency in PyTorch, TensorFlow, Kubernetes, and Docker
Experience with cloud services including AWS, Azure, GCP
Robust background in SQL and data warehouses
Solid grasp of MLOps best practices and model monitoring

Step into a significant role at TheAppLabb where your skills will facilitate creative AI transformations.

📌 Lead Ai Solutions Engineer At Theapplabb Toronto
🏢 TheAppLabb
📍 Toronto